sqsunexeter

iTerm2-Color-Schemes

Over 250 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

ai-deadlines

:alarm_clock: AI conference deadline countdowns

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

NLP-Interview-Notes

该仓库主要记录 NLP 算法工程师相关的面试题

backdoor-learning-resources

A list of backdoor learning resources

awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

PromptKG

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

OpenAttack

An Open-Source Package for Textual Adversarial Attack.

robustlearn

Robust machine learning for responsible AI

backdoors101

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

eran

ETH Robustness Analyzer for Deep Neural Networks

universal-triggers

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

auto_LiRPA

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

Awesome-Backdoor-in-Deep-Learning

A curated list of papers & resources on backdoor attacks and defenses in deep learning.

backdoor-toolbox

A compact toolbox for backdoor attacks and defenses.

DART

[ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

SememePSO-Attack

Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"

hard-label-attack

Natural Language Attacks in a Hard Label Black Box Setting.

BkdAtk-LWS

Code and data of the ACL 2021 paper "Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution"

Universal_Pert_Cert

This repo is the official implementation of the ICLR'23 paper "Towards Robustness Certification Against Universal Perturbations." We calculate the certified robustness against universal perturbations (UAP/ Backdoor) given a trained model.

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

adversarial_shap_detect_Repl4NLP

infersent-train-2021

contains files and scripts for training InferSent algorithm

TextVerifer

Towards Local Robustness Verification for Textual Classifiers with Certifiable Guarantees in Hamming Space - ACL 2023

TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.